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Huh, so it's a fork of Halide that replaces the frontend with a set of adapters for various neural net frameworks. Halide is super cool and really ought to be better known. I wonder if they tried to collaborate with the Halide people at all or if they're just doing their own thing?

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Calling it a fork isn't really fair. It just reuses bits and pieces from Halide where it made sense for them to do so, and it's appropriately credited. We're happy for people to build on our stuff.

- One of the Halide people.

part of TVM https://github.com/dmlc/tvm is built with primitives in Halide. Halide is indeed super cool and TVM benefit a lot from its experience. While Halide optimizes CPU and image processing workload well. TVM also focus specifically on deep learning and offers more optimizations on multi-core, GPU and other hardwares. This requires rethink of quite a lot of designs.

NNVM compiler is built on top of TVM, with additional graph level optimizers, and the two forms an end to end pipeline

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